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06c61e3
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1 Parent(s): 8d94b7b

Update src/streamlit_app.py

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  1. src/streamlit_app.py +3 -3
src/streamlit_app.py CHANGED
@@ -75,7 +75,7 @@ st.link_button("by nlpblogs", "https://nlpblogs.com", type="tertiary")
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  expander = st.expander("**Important notes**")
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  expander.write("""
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  **Named Entities:** This HR.ai predicts sixty (60) labels:
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- "Email", "Phone_number", "Street_address", "City", "State", "Zip_code", "Country", "Date_of_birth", "Gender", "Marital_status", "Person", "Full_time", "Part_time", "Contract", "Temporary", "Terminated", "Active", "Retired", "Job_title", "Employment_type", "Start_date", "End_date", "Company", "Organization", "Role", "Position",
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  "Performance_review", "Performance_rating", "Performance_score", "Sick_days", "Vacation_days", "Leave_of_absence", "Holidays", "Pension", "Retirement_plan", "Bonus", "Stock_options", "Health_insurance","Retire_date",
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  "Pay_rate", "Hourly_wage", "Annual_salary", "Overtime_pay", "Tax", "Social_security", "Deductions", "Job_posting", "Job_description", "Interview_type", "Applicant", "Candidate", "Referral", "Job_board", "Recruiter",
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  "Contract", "Offer_letter", "Agreement", "Training_course", "Certification", "Skill"
@@ -132,7 +132,7 @@ labels = [
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  "Email", "Phone_number", "Street_address", "City", "State", "Zip_code", "Country",
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  "Date_of_birth", "Gender", "Marital_status", "Person",
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  "Full_time", "Part_time", "Contract", "Temporary", "Terminated", "Active", "Retired",
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- "Job_title", "Employment_type", "Start_date", "End_date", "Company", "Organization", "Role", "Position",
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  "Performance_review", "Performance_rating", "Performance_score",
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  "Sick_days", "Vacation_days", "Leave_of_absence", "Holidays",
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  "Pension", "Retirement_plan", "Bonus", "Stock_options", "Health_insurance","Retire_date",
@@ -152,7 +152,7 @@ category_mapping = {
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  "Contact Information": ["Email", "Phone_number", "Street_address", "City", "State", "Zip_code", "Country"],
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  "Personal Details": ["Date_of_birth", "Gender", "Marital_status", "Person"],
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  "Employment Status": ["Full_time", "Part_time", "Contract", "Temporary", "Terminated", "Active", "Retired"],
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- "Employment Information" : ["Job_title", "Employment_type", "Start_date", "End_date", "Company", "Organization", "Role", "Position"],
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  "Performance": ["Performance_review", "Performance_rating", "Performance_score"],
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  "Attendance": ["Sick_days", "Vacation_days", "Leave_of_absence", "Holidays"],
 
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  expander = st.expander("**Important notes**")
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  expander.write("""
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  **Named Entities:** This HR.ai predicts sixty (60) labels:
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+ "Email", "Phone_number", "Street_address", "City", "State", "Zip_code", "Country", "Date_of_birth", "Gender", "Marital_status", "Person", "Full_time", "Part_time", "Contract", "Temporary", "Terminated", "Active", "Retired", "Job_title", "Employment_type", "Year", "Date", "Company", "Organization", "Role", "Position",
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  "Performance_review", "Performance_rating", "Performance_score", "Sick_days", "Vacation_days", "Leave_of_absence", "Holidays", "Pension", "Retirement_plan", "Bonus", "Stock_options", "Health_insurance","Retire_date",
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  "Pay_rate", "Hourly_wage", "Annual_salary", "Overtime_pay", "Tax", "Social_security", "Deductions", "Job_posting", "Job_description", "Interview_type", "Applicant", "Candidate", "Referral", "Job_board", "Recruiter",
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  "Contract", "Offer_letter", "Agreement", "Training_course", "Certification", "Skill"
 
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  "Email", "Phone_number", "Street_address", "City", "State", "Zip_code", "Country",
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  "Date_of_birth", "Gender", "Marital_status", "Person",
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  "Full_time", "Part_time", "Contract", "Temporary", "Terminated", "Active", "Retired",
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+ "Job_title", "Employment_type", "Year", "Date", "Company", "Organization", "Role", "Position",
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  "Performance_review", "Performance_rating", "Performance_score",
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  "Sick_days", "Vacation_days", "Leave_of_absence", "Holidays",
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  "Pension", "Retirement_plan", "Bonus", "Stock_options", "Health_insurance","Retire_date",
 
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  "Contact Information": ["Email", "Phone_number", "Street_address", "City", "State", "Zip_code", "Country"],
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  "Personal Details": ["Date_of_birth", "Gender", "Marital_status", "Person"],
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  "Employment Status": ["Full_time", "Part_time", "Contract", "Temporary", "Terminated", "Active", "Retired"],
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+ "Employment Information" : ["Job_title", "Employment_type", "Year", "Date", "Company", "Organization", "Role", "Position"],
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  "Performance": ["Performance_review", "Performance_rating", "Performance_score"],
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  "Attendance": ["Sick_days", "Vacation_days", "Leave_of_absence", "Holidays"],